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https://hdl.handle.net/2440/105291
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Type: | Book chapter |
Title: | Applications of mass spectrometry imaging to cancer |
Author: | Arentz, G. Mittal, P. Zhang, C. Ho, Y. Briggs, M. Winderbaum, L. Hoffmann, M. Hoffmann, P. |
Citation: | Advances in Cancer Research, 2017 / Drake, R. (ed./s), vol.134, pp.27-66 |
Publisher: | Academic Press |
Publisher Place: | USA |
Issue Date: | 2017 |
Series/Report no.: | Advances in Cancer Research |
ISBN: | 9780128052495 |
Editor: | Drake, R. |
Statement of Responsibility: | G. Arentz, P. Mittal, C. Zhang, Y.-Y. Ho, M. Briggs, L. Winderbaum, M.K. Hoffmann, P. Hoffmann |
Abstract: | Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world. |
Keywords: | Mass spectrometry |
Description: | Chapter two -from Applications of Mass Spectrometry Imaging to Cancer Edited by Richard R. Drake and Liam A. McDonnell. ISBN: 9780128052495 |
Rights: | © 2017 Elsevier Inc. |
DOI: | 10.1016/bs.acr.2016.11.002 |
Published version: | http://dx.doi.org/10.1016/bs.acr.2016.11.002 |
Appears in Collections: | Aurora harvest 7 IPAS publications |
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